Regression line on weight and result
With regression analysis we can check if there is a relationship between a dependent (also called outcome variable) and an independent variable. In this statistic, the relationship between the weight of a rider and the result (outcome) is investigated.
The formula for the regression line on the riders in the result is as follows:
The formula for the regression line on the riders in the result is as follows:
result = 0.8 * weight - 45
This means that on average for every extra kilogram weight a rider loses 0.8 positions in the result.
| # | Rider | Weight (KG) |
|---|---|---|
| 1 | DEKKERS Hans | 72 |
| 2 | LADAGNOUS Matthieu | 73 |
| 3 | FLAHAUT Denis | 66 |
| 5 | WAGNER Robert | 75 |
| 6 | DE MAAR Marc | 70 |
| 8 | DRUJON Mathieu | 75 |
| 20 | SCHETS Steve | 74 |
| 23 | DEHAES Kenny | 73 |
| 28 | VEELERS Tom | 75 |
| 30 | BOŽIČ Borut | 70 |